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DNA encoding for an efficient 'Omics processing
ID
Murovec, Boštjan
(
Author
),
ID
Tiedje, James M.
(
Author
),
ID
Stres, Blaž
(
Author
)
URL - Presentation file, Visit
http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6T5J-500SR9R-1&_user=4776866&_coverDate=05%2F04%2F2010&_rdoc=1&_fmt=high&_orig=search&_sort=d&_docanchor=&view=c&_acct=C000033658&_version=1&_urlVersion=0&_userid=4776866&md5=78c89ede53f4f7ca853cb1403a642138
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Abstract
The exponential growth of available DNA sequences and the increased interoperability of biological information is triggering intergoivernmental efforts aimed at increasing the access, dissemination, and analysis of sequence data. Achieving the efficient storage and processing of DNA material is an important goal that parallels well with the foreseen coding standardization on the horizon. This paper proposes novel coding approaches, for both the dissemination and processing of sequences, where the speed of the DNA processing is shown to be boosted by exploring more than the normally utilized eight bits for encoding a single nucleotide. Further gains are achived by encoding the nucleotides together with their trailing alignament information as a single 64-bit data structure. the paper also proposes a slight modification to the established FASTA scheme in order to improve on its representation of alignament information. The significance of the proposition is confirmed by the encouraging results from empirical tests.
Language:
English
Keywords:
molekularna genetika
,
DNK
,
sekvence
,
bioinformatika
Work type:
Not categorized
Typology:
1.01 - Original Scientific Article
Organization:
BF - Biotechnical Faculty
Year:
2010
Number of pages:
Str. 175-190
Numbering:
Vol. 100, no. 2
PID:
20.500.12556/RUL-36518
UDC:
575
ISSN on article:
0169-2607
DOI:
10.1016/j.cmpb.2010.03.014
COBISS.SI-ID:
2625416
Publication date in RUL:
10.07.2015
Views:
2479
Downloads:
242
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Record is a part of a journal
Title:
Computer methods and programs in biomedicine
Shortened title:
Comput. methods programs biomed.
Publisher:
Elsevier
ISSN:
0169-2607
COBISS.SI-ID:
25260032
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